The Business Analytics Sr Analyst is a seasoned professional role. This role is for the Wholesale Lending Data Concern Management Team. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities: Assist in the intake, logging, and initial assessment of data concerns reported by various business units. Support the investigation of data issues, including root cause analysis and impact assessment Collaborate with data owners, stewards, and technical teams to facilitate the resolution of identified data concerns. Track the lifecycle of data concerns, from identification to resolution, ensuring timely updates and communication. Contribute to the documentation of data concern resolution processes and best practices. Prepare reports and presentations on data concern trends, resolution status, and preventative measures. Participate in efforts to enhance data quality frameworks and data governance policies. Learn and apply data management principles, policies, procedures, data quality standards, and relevant regulatory requirements. Perform ad-hoc analysis to support data concern management initiatives.
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Job Type
Full-time
Career Level
Mid Level